Why use a browser-based find and replace?
Editors like VS Code excel at project-wide refactors, but many tasks are single-buffer: a CSV snippet from a ticket, a log excerpt, a markdown draft, or SQL copied from a monitoring UI. A dedicated bulk find replace page avoids opening heavy IDEs, respects air-gapped or locked-down machines, and keeps sensitive paste on the client. You still get regex power when you need pattern-based substitution and literal mode when special characters must stay literal.
Content and support teams often search for case insensitive find and replace to align product names; developers search for regex find replace online to strip phone formats or ticket IDs. After editing, the word counter helps confirm length limits, and the whitespace remover tidies spacing if paste introduced odd breaks.
How to use this find and replace tool (step by step)
- Paste your document into the left panel or click Upload .txt to load a UTF-8 file. Load sample demonstrates a small multi-line example.
- Choose Plain text for literal strings, or Regular expression for JS RegExp syntax. In plain mode, toggle Match case when capitalization must match exactly.
- Enter Find and Replace with. In regex mode, use $1, $2 for capture groups and $& for the full match in the replacement. Enable i, m, or s flags when your pattern needs them.
- Read the match count and character lengths, then copy the result from the right panel into your destination app.
Plain text vs regex: quick guide
Plain text escapes regex metacharacters for you, so searching for price $10.00 is safe. Turn off match case to fold TODO and todo together. Regex mode is for digits (\d+), optional groups, boundaries, and multiline anchors—ideal when the same shape appears with different values. Invalid patterns surface a clear error without mutating your text.
When you only need to collapse repeated rows instead of in-line edits, use the duplicate line remover. For consistent identifier casing after replacements, try the text case converter.
Keywords and workflows people search for
Common intents include replace text in document online, bulk rename in a paste, fix double spaces, swap delimiters, strip HTML entities from a fragment, or rehearse a javascript regex replace before dropping it into Node or a browser app. This page supports those flows with live output and counts. For sorting lines after substitution, use the line sorter.
Privacy and limits
Find and replace runs locally; large documents may feel slower on older hardware. For multi-gigabyte logs, prefer streaming CLI tools. This interface targets articles, configs, tickets, and spreadsheet-sized paste.
Related text and string tools
Browse the full Text & String Tools section on the home page. Highlights:
- Word Counter — Count words, characters, sentences, paragraphs, and estimated reading time for articles and limits.
- Text Case Converter — Switch between uppercase, lowercase, title, camelCase, snake_case, and kebab-case in one pass.
- Text Diff Checker — Compare two text versions with line-level highlights for copy, legal, and content workflows.
- Duplicate Line Remover — Deduplicate pasted lists with case-sensitive or insensitive matching for clean datasets.
- Text Reverser — Reverse full text, words per line, or each line—quick puzzles, tests, and obfuscation demos.
- Slug Generator — Turn titles into URL-safe, lowercase, hyphenated slugs for blogs, products, and routes.
- Line Sorter — Sort lines A–Z, Z–A, by length, or randomly to tidy logs, lists, and imports.
- Whitespace Remover — Trim edges and normalize spaces so pasted content fits forms, CSVs, and code blocks.
- Text to Binary Converter — Encode text to binary strings or decode binary back to readable characters for learning and demos.
- ROT13 Encoder & Decoder — Apply ROT13 encode/decode in the browser for quick CTF-style or legacy text tasks.
- Caesar Cipher Tool — Encrypt or decrypt with a custom Caesar shift—educational and lightweight obfuscation.
- Word Frequency Analyzer — Rank word counts in pasted text to spot repetition, SEO stuffing, or vocabulary patterns.
- Email Extractor — Pull every valid email from messy text or HTML into a deduplicated list for outreach prep.
- URL Extractor — Extract URLs from blobs of text or HTML for audits, archiving, and link inventories.